Theorem 4 ([1]}) 

For separable linear classification with logistics loss, the gradient descent iterates with sufficiently small step size converge in direction to \(u^{\sf \tiny m}_{2}\) , i.e., \(\lim _{t\rightarrow \infty } \frac{w_t}{\left\Vert w_t \right\Vert _2} = u^{\sf \tiny m}_{2}\) .

